2018
DOI: 10.1177/1940082918764259
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High Richness of Vascular Plants in the Tropical Los Tuxtlas Region, Mexico

Abstract: We present an assessment of the recorded vascular plants in the Los Tuxtlas region, in the state of Veracruz, Mexico, an important portion of the humid tropical forest at the northern edge of its distribution. A literature review and the information contained in the two most important databases in Mexico with digitized information for the region report 2,548 species, of which 2,391 are native and 157 naturalized (exotic). The families with the highest number of species are Fabaceae, Orchidaceae, Asteraeae, and… Show more

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Cited by 22 publications
(21 citation statements)
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“…The two regions share more than 60% of their flora (Villaseñor et al. ) but have contrasting land‐use change patterns and history. Deforestation in LTX began in the early 1960s, mainly for cattle pasture expansion in lowland areas (<700 m above sea level).…”
Section: Methodsmentioning
confidence: 99%
“…The two regions share more than 60% of their flora (Villaseñor et al. ) but have contrasting land‐use change patterns and history. Deforestation in LTX began in the early 1960s, mainly for cattle pasture expansion in lowland areas (<700 m above sea level).…”
Section: Methodsmentioning
confidence: 99%
“…Corresponde al área de Los Tuxtlas, en el sur de Veracruz. Villaseñor et al (2018) Dinerstein et al, 1995: 97. Ecorregión de los Bosques Húmedos de Tehuantepec Dinerstein et al, 1995: 91. Ecorregión de las Sabanas de Tabasco y Veracruz Dinerstein et al, 1995: 104. Distrito del Bosque Lluvioso del Sur de Veracruz-Tabasco Morrone, 2014a: 51.…”
Section: Distrito De Los Tuxtlasunclassified
“…To obtain the species richness values used in the species accumulation curves, we located all of the registers (separated by source) on a map. We then generated a grid with 4 × 4 km cells (total of 54 cells), and we obtained the richness for each cell (Villaseñor et al 2018). In addition, for each source, the distribution maps of the registers were generated to visualize the distribution.…”
Section: Methodsmentioning
confidence: 99%